Hair, Joseph F. "Multivariate data analysis: 2018 (p.1-45)
2
Multi-eyed chi-square tests
Barton, Belinda, and Jennifer Peat. Medical statistics: A guide to SPSS, data analysis and critical appraisal. John Wiley & Sons, 2014. p.249-286
3
Multiple regression analysis methods
J. Hair, p.259-370
4
Logistic regression analysis 1
J. Hair, p.548-598
5
Logistic regression analysis 2
J. Hair, p.548-598
6
Probit analysis
J. Hair, p.548-598
7
ROC analysis
Barton and Belinda, p. 331-349
8
One factor analysis of variance in repeated measures
Belinda and Peat p.161-196
9
Two-factor analysis of variance in repeated measures
Belinda and Peat p.161-196
10
One-way analysis of variance in independent groups
Belinda and Peat p.112-160
11
Two-way analysis of variance in independent groups
Belinda and Peat p.112-160
12
MANOVA
J. Hair, p. 371- 468
13
Survival analysis methods 1
Belinda and Peat p.350-368
14
Survival analysis methods 2
Belinda and Peat p.350-368
Resources
1. Advanced Statistics, Larry Stephens, McGraw Hill, 2004.
2. Bilgisayar istatistik ve tıp Dr. Murat Hayran, Dr. Oktay Özdemir.
3. Bilimsel araştırmalarda biyoistatistik prensip ve yöntemlerinin bilinçli kullanımı 4. Kadir Sümbüloğlu, Vildan Sümbüloğlu.
5. Paket programlar ile istatistiksel veri analizi Kazım Özdamar 1999-1-2.
6. Sağlık alanına özel istatistiksel yöntemler Kadir Sümbüloğlu.
7. Sağlık Araştırmaları İçin Temel İstatistik, Murat Hayran, Mutlu Hayran.
8. Tıbbi araştırmalarda istatistiksel analiz teknikleri “SPSS uygulamaları” Aziz Akgül.
9. Barton, Belinda, and Jennifer Peat. Medical statistics: A guide to SPSS, data analysis and critical appraisal. John Wiley & Sons, 2014.
10. Hair, J. F. (2019). Multivariate data analysis: An overview. 8. edition,
Örneklendirilmiş Bilimsel Araştırma Yöntemleri
Prof. Dr. Veysel Sönmez, G. Füsun Alacapınar ANI YAYINCILIK
Course Contribution to Program Qualifications
Course Contribution to Program Qualifications
No
Program Qualification
Contribution Level
1
2
3
4
5
1
Plans and statistically assesses scientific research, prepares an article for publication in a refereed journal and presents it in a scientific meeting.
2
Knows laboratory methods used in the field of Medical Microbiology and designs experimental studies on microorganisms.
3
Gains up-to-date scientific knowledge and skills in the field of microbiology and follows the innovations in this field.
4
Develops ability to use of devices and tools that serve routine analyses and research purposes in the medical microbiology laboratory
5
Statistically analyzes results of experiments at the expert level, (re)evaluates and convincingly defends, if necessary, and presents the results of scientific studies at the in writing or orally.
6
Develops ability to write grant proposals
7
Solves a scientific and technical problem.
8
Participates in meetings related to the field of Medical Microbiology, presents papers, participates in discussions, talks before audiance
9
Understands and interprets microbial diseases and their etiology at expert level.
Assessment Methods
Contribution Level
Absolute Evaluation
Rate of Midterm Exam to Success
50
Rate of Final Exam to Success
50
Total
100
ECTS / Workload Table
Activities
Number of
Duration(Hour)
Total Workload(Hour)
Course Hours
14
2
28
Guided Problem Solving
4
4
16
Resolution of Homework Problems and Submission as a Report
2
48
96
Term Project
4
6
24
Presentation of Project / Seminar
3
4
12
Quiz
5
2
10
Midterm Exam
1
20
20
General Exam
1
20
20
Performance Task, Maintenance Plan
1
10
10
Total Workload(Hour)
236
Dersin AKTS Kredisi = Toplam İş Yükü (Saat)/30*=(236/30)
8
ECTS of the course: 30 hours of work is counted as 1 ECTS credit.
Detail Informations of the Course
Course Description
Course
Code
Semester
T+P (Hour)
Credit
ECTS
ADVANCED RESEARCH METHODS
-
Spring Semester
3+0
3
8
Course Program
Prerequisites Courses
Recommended Elective Courses
Language of Course
Turkish
Course Level
Third Cycle (Doctorate Degree)
Course Type
Elective
Course Coordinator
Prof.Dr. Abdulbari BENER
Name of Lecturer(s)
Prof.Dr. Abdulbari BENER
Assistant(s)
Aim
To demonstrate advanced statistical methods that can be used in scientific research.
Course Content
This course contains; Introduction to multivariate statistical methods,Multi-eyed chi-square tests,Multiple regression analysis methods,Logistic regression analysis 1,Logistic regression analysis 2,Probit analysis,ROC analysis,One factor analysis of variance in repeated measures,Two-factor analysis of variance in repeated measures,One-way analysis of variance in independent groups,Two-way analysis of variance in independent groups,MANOVA,Survival analysis methods 1,Survival analysis methods 2.
Dersin Öğrenme Kazanımları
Teaching Methods
Assessment Methods
Interprets statistical results.
10, 16, 9
E
Applies multivariate statistical methods on computer.
Hair, Joseph F. "Multivariate data analysis: 2018 (p.1-45)
2
Multi-eyed chi-square tests
Barton, Belinda, and Jennifer Peat. Medical statistics: A guide to SPSS, data analysis and critical appraisal. John Wiley & Sons, 2014. p.249-286
3
Multiple regression analysis methods
J. Hair, p.259-370
4
Logistic regression analysis 1
J. Hair, p.548-598
5
Logistic regression analysis 2
J. Hair, p.548-598
6
Probit analysis
J. Hair, p.548-598
7
ROC analysis
Barton and Belinda, p. 331-349
8
One factor analysis of variance in repeated measures
Belinda and Peat p.161-196
9
Two-factor analysis of variance in repeated measures
Belinda and Peat p.161-196
10
One-way analysis of variance in independent groups
Belinda and Peat p.112-160
11
Two-way analysis of variance in independent groups
Belinda and Peat p.112-160
12
MANOVA
J. Hair, p. 371- 468
13
Survival analysis methods 1
Belinda and Peat p.350-368
14
Survival analysis methods 2
Belinda and Peat p.350-368
Resources
1. Advanced Statistics, Larry Stephens, McGraw Hill, 2004.
2. Bilgisayar istatistik ve tıp Dr. Murat Hayran, Dr. Oktay Özdemir.
3. Bilimsel araştırmalarda biyoistatistik prensip ve yöntemlerinin bilinçli kullanımı 4. Kadir Sümbüloğlu, Vildan Sümbüloğlu.
5. Paket programlar ile istatistiksel veri analizi Kazım Özdamar 1999-1-2.
6. Sağlık alanına özel istatistiksel yöntemler Kadir Sümbüloğlu.
7. Sağlık Araştırmaları İçin Temel İstatistik, Murat Hayran, Mutlu Hayran.
8. Tıbbi araştırmalarda istatistiksel analiz teknikleri “SPSS uygulamaları” Aziz Akgül.
9. Barton, Belinda, and Jennifer Peat. Medical statistics: A guide to SPSS, data analysis and critical appraisal. John Wiley & Sons, 2014.
10. Hair, J. F. (2019). Multivariate data analysis: An overview. 8. edition,
Örneklendirilmiş Bilimsel Araştırma Yöntemleri
Prof. Dr. Veysel Sönmez, G. Füsun Alacapınar ANI YAYINCILIK
Course Contribution to Program Qualifications
Course Contribution to Program Qualifications
No
Program Qualification
Contribution Level
1
2
3
4
5
1
Plans and statistically assesses scientific research, prepares an article for publication in a refereed journal and presents it in a scientific meeting.
2
Knows laboratory methods used in the field of Medical Microbiology and designs experimental studies on microorganisms.
3
Gains up-to-date scientific knowledge and skills in the field of microbiology and follows the innovations in this field.
4
Develops ability to use of devices and tools that serve routine analyses and research purposes in the medical microbiology laboratory
5
Statistically analyzes results of experiments at the expert level, (re)evaluates and convincingly defends, if necessary, and presents the results of scientific studies at the in writing or orally.
6
Develops ability to write grant proposals
7
Solves a scientific and technical problem.
8
Participates in meetings related to the field of Medical Microbiology, presents papers, participates in discussions, talks before audiance
9
Understands and interprets microbial diseases and their etiology at expert level.
